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Models/PEGASUS

PEGASUS

Reported on 19 benchmarks across 3 tasks · 2 papers · 14 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base11 results

  • Text SummarizationonArxiv HEP-TH citation graph
    ROUGE-1· uses extra data· 2019-12-18
    44.67
    best: 50.95 (Top Down Transformer (AdaPool) (464M))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonPubmed
    ROUGE-1· uses extra data· 2019-12-18
    45.09
    best: 51.05 (Top Down Transformer (AdaPool) (464M))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonCNN / Daily Mail
    ROUGE-1· uses extra data· 2019-12-18
    44.17
    best: 48.18 (Scrambled code + broken (alter))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-12-18
    41.11
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonAESLC
    ROUGE-1· 2019-12-18
    37.68
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonAESLC
    ROUGE-2· 2019-12-18
    21.25
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonAESLC
    ROUGE-L· 2019-12-18
    36.51
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonGigaWord
    ROUGE-1· uses extra data· 2019-12-18
    39.12
    best: 60.12 (OpenAI/o3-mini)
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonGigaWord
    ROUGE-2· uses extra data· 2019-12-18
    19.86
    best: 54.22 (OpenAI/o3-mini)
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonGigaWord
    ROUGE-L· uses extra data· 2019-12-18
    36.24
    best: 60.29 (Riple/Saanvi-v0.1)
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Text SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-12-18
    21.47
    best: 24.02 (Pegasus)
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777

Natural Language Processing8 results

  • Extreme SummarizationonGEM-XSum
    ROUGE-2· 2021-02-02
    23.2
    SOTA
    The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsarXiv:2102.01672
  • Extreme SummarizationonXSum
    METEOR· 2021-02-02
    0.216
    SOTA
    The GEM Benchmark: Natural Language Generation, its Evaluation and MetricsarXiv:2102.01672
  • Abstractive Text SummarizationonCNN / Daily Mail
    ROUGE-1· uses extra data· 2019-12-18
    44.17
    best: 48.18 (Scrambled code + broken (alter))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Abstractive Text SummarizationonCNN / Daily Mail
    ROUGE-L· uses extra data· 2019-12-18
    41.11
    best: 45.35 (Scrambled code + broken (alter))
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Abstractive Text SummarizationonAESLC
    ROUGE-1· 2019-12-18
    37.68
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Abstractive Text SummarizationonAESLC
    ROUGE-2· 2019-12-18
    21.25
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Abstractive Text SummarizationonAESLC
    ROUGE-L· 2019-12-18
    36.51
    SOTA
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777
  • Abstractive Text SummarizationonCNN / Daily Mail
    ROUGE-2· uses extra data· 2019-12-18
    21.47
    best: 24.02 (Pegasus)
    PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777